JP6635149B2 - Image processing device and imaging device - Google Patents

Description

  The present invention relates to an image processing device and an imaging device.

2. Description of the Related Art There is known an image processing apparatus and an image pickup apparatus that determine an evaluation value from image data and evaluate the contrast of the subject and the in-focus data of the subject based on the evaluation value (for example, see Patent Document 1).
[Patent Document 1] Japanese Patent Application Laid-Open No. 2010-175696

  However, there is a problem that it takes time to calculate the evaluation value as the image data increases.

In a first aspect of the present invention, an image generation unit that generates image data including a plurality of pixel values, which is obtained by digitizing a plurality of pixel signals output from each of a plurality of pixels with a predetermined number of bits, An evaluation unit that reduces the number of bits of at least one of the plurality of pixel values and evaluates the image data, wherein the evaluation unit changes the number of bits to be reduced based on the plurality of pixel values. , An image processing apparatus.

  According to a second aspect of the present invention, there is provided an imaging device including the above-described image processing device.

  The above summary of the present invention does not list all of the necessary features of the present invention. Further, a sub-combination of these feature groups can also be an invention.

FIG. 1 is an overall configuration diagram of an imaging device. 9 is a flowchart illustrating image processing. 6 is a graph showing energy amounts of some pixels among pixels included in image data. FIG. 9 is a diagram for explaining a dent detection process in which the lower 4 bits of the energy amount of each pixel are rounded off. FIG. 9 is a diagram for explaining a dent detection process in which the lower 5 bits of the energy amount of each pixel are rounded off. FIG. 9 is a diagram illustrating a process of detecting a dent obtained by rounding off lower three bits of the energy amount of each pixel. FIG. 9 is a diagram illustrating a process of detecting a dent in which lower 4 bits of the energy amount of each pixel are truncated. FIG. 3 is a diagram illustrating a data structure of an evaluation value stored in a storage unit having a cache structure. 6 is a graph illustrating a relationship between a wide area energy amount in an image and a pixel position. 10 is a graph illustrating a relationship between an energy amount obtained by removing upper three bits of the energy amount in FIG. 9 and a pixel position.

  Hereinafter, the present invention will be described through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. In addition, not all combinations of the features described in the embodiments are necessarily essential to the solution of the invention.

  FIG. 1 is an overall configuration diagram of the imaging device 10. One example of the imaging device 10 is a digital camera. As illustrated in FIG. 1, the imaging device 10 includes an imaging unit 12, a display unit 14, and an image processing unit 16.

  The imaging unit 12 includes an imaging element such as a charge-coupled device (CCD) image sensor or a complementary metal oxide semiconductor (CMOS) image sensor, an optical system such as a lens, and a driving unit that drives the optical system. The imaging unit 12 outputs an image signal of the captured subject to the image processing unit 16.

  The display unit 14 has a liquid crystal display device, an organic EL display device, and the like. The display unit 14 acquires image data generated from the image signal by the image processing unit 16 and displays an image.

  One example of the image processing unit 16 is a computer. The image processing unit 16 has a control unit 18 and a storage unit 20.

  An example of the control unit 18 is an arithmetic processing unit of a CPU (Central Processing Unit). The control unit 18 includes an image generation unit 22, an evaluation value calculation unit 24, and an evaluation value analysis unit 26. The control unit 18 functions as an image generation unit 22, an evaluation value calculation unit 24, and an evaluation value analysis unit 26 by reading the image processing program stored in the storage unit 20. Note that any one of the image generation unit 22, the evaluation value calculation unit 24, and the evaluation value analysis unit 26 may be configured by a circuit or the like.

  The image generation unit 22 acquires an image signal from the imaging unit 12. The image generation unit 22 generates image data including energy amounts of a plurality of pixels obtained by digitizing a plurality of pixel signals output from each of the plurality of pixels with a predetermined number of bits. The image generation unit 22 outputs the generated image data to the evaluation value calculation unit 24 and stores the image data in the storage unit 20.

  The evaluation value calculation unit 24 acquires image data from the image generation unit 22. The evaluation value calculation unit 24 calculates an evaluation value for image data by reducing the number of bits of the energy amount of at least one of the plurality of pixels. The energy amount of a pixel is an example of a pixel value. Further, the evaluation value calculation unit 24 causes the storage unit 20 to store the evaluation value in association with a part of the bit string indicating the energy amount of at least one of the pixels described above. Furthermore, when a part of the bit sequence indicating the energy amount of another pixel among the energy amounts of the plurality of pixels matches a part of the bit sequence stored in the storage unit 20, instead of calculating the evaluation value, , Evaluation values from the storage unit 20. The part of the bit string indicating the amount of energy of the pixel referred to here is a part of a digit of a bit string of a plurality of digits, and is, for example, a lower four digits or an upper four digits of a bit string of a plurality of digits. The evaluation value calculation unit 24 outputs the calculated evaluation value or the evaluation value obtained from the storage unit 20 to the evaluation value analysis unit 26.

  The evaluation value analysis unit 26 acquires an evaluation value from the evaluation value calculation unit 24. Further, the evaluation value analysis unit 26 may acquire image data from the storage unit 20. The evaluation value analysis unit 26 controls the imaging unit 12 and the display unit 14 based on the obtained evaluation value and the image data. For example, the evaluation value analysis unit 26 analyzes the obtained evaluation value and calculates focus data. The driving unit of the imaging unit 12 is controlled to focus the lens of the optical system on the subject. Further, the evaluation value analysis unit 26 calculates the contrast or edge of the subject from the obtained evaluation value. The evaluation value analysis unit 26 controls the imaging unit 12 based on the contrast or the edge.

  The storage unit 20 stores information related to the evaluation processing and the like. The storage unit 20 stores, for example, the evaluation value calculated by the evaluation value calculation unit 24. More specifically, the storage unit 20 stores the evaluation value in association with at least a part of the bit string of the energy amount of any one of the pixels.

  FIG. 2 is a flowchart illustrating the evaluation process. As shown in FIG. 2, when the evaluation process is started, the image generation unit 22 acquires an image signal from the imaging unit 12 and generates image data (S10).

  Next, the evaluation value calculation unit 24 performs the processing from step S16 to step S22 for all pixels arranged in a matrix in the X direction and the Y direction (S12, S14, S24, S26).

  First, the evaluation value calculation unit 24 determines from the evaluation values stored in the storage unit 20 whether an evaluation value with the same energy amount as the energy amount of the pixel to be calculated has already been calculated (S12).

  When determining that the evaluation value of the energy amount has already been calculated (S16: Yes), the evaluation value calculation unit 24 extracts the evaluation value from the storage unit 20 (S18).

  On the other hand, when determining that the evaluation value of the energy amount has not been calculated (S16: No), the evaluation value calculation unit 24 calculates the evaluation value of the pixel from the energy amount (S20). The evaluation value calculation processing will be described later. The evaluation value calculation unit 24 stores the calculated evaluation value in the storage unit 20 (S22).

  Thereafter, the evaluation value calculation unit 24 scans all the pixels by shifting one pixel in the X direction and the Y direction, and executes the processing of steps S16 to S22 for all the pixels. Then, the calculated evaluation value is obtained and analyzed (S28). Thus, the evaluation processing ends.

  FIG. 3 is a graph showing the energy amounts of some of the pixels included in the image data. In FIG. 3, the vertical axis indicates the energy amount of the pixel, and the horizontal axis indicates the position of the pixel. Also, black circles indicate each pixel. The energy amount of the pixel is represented by 12 bits. It is assumed that the upper 4 bits of the energy amount of the pixel are “XXXX” without being specified, and any value may be included.

  In FIG. 3, thin broken lines are lines connecting the energy amounts of the respective pixels. When the evaluation value is not stored in the storage unit 20, the evaluation value calculation unit 24 calculates the average value of the energy amounts of the pixel to be calculated and a plurality of (for example, five) pixels adjacent to the pixel. Then, the dent of the line graph is detected.

  4 to 6 are graphs for explaining a method of detecting a dent by approximating the graph of FIG. The vertical and horizontal axes in FIGS. 4 to 6 are the same as those in FIG. In the examples shown in FIGS. 4 to 6, the number of bits for calculating the evaluation value is reduced by rounding off a specific bit.

  FIG. 4 is a diagram for explaining a dent detection process in which the lower 4 bits of the energy amount of each pixel are rounded off. In FIG. 4, the thin polygonal line is the same as the polygonal line in FIG. 3, that is, a line in which energy amounts that are not approximated are connected. In FIG. 4, a thick broken line is a line connecting the energy amounts obtained by rounding off the lower 4 bits of each pixel in FIG. 3. That is, the energy amount rounded off on the thick broken line shown in FIG. 4 is plotted on a thin straight line on the horizontal axis or on a thick dotted line.

  As shown in FIG. 4, the evaluation value calculation unit 24 can detect a dent at the same position as a thin broken line that has not been rounded, even in the case of a thick broken line in which the lower 4 bits have been rounded. Here, the evaluation value calculation unit 24 determines whether the dent within the predetermined pixel range is equal to or larger than the dent detection range or not. In the example illustrated in FIG. 4, the “pixel range” is for five pixels, and the energy amount of the “dent detection range” is 10_0000. The “pixel range” and the “dent detection range” used for the judgment of the dent may be appropriately changed by the user, and the evaluation value calculation unit 24 automatically changes the “pixel range” and the number of the detected dents. Is also good. By changing these ranges, the size of the detected dent can be changed.

  As shown in FIG. 4, if the “pixel range” and the “dent detection range” are the same, the evaluation value calculation unit 24 calculates the energy amount obtained by rounding off the lower 4 bits even if the calculation is not rounded. Substantially the same dent can be detected. Thus, the evaluation value calculation unit 24 can reduce the processing time without lowering the accuracy of the dent detection.

  When detecting the dent, the evaluation value calculation unit 24 determines that a large change in contrast exists near the center of the pixel at the dent. In addition, the evaluation value calculation unit 24 determines that an edge indicating a color change exists in the pixel at the concave portion.

  FIG. 5 is a diagram illustrating a dent detection process in which the lower 5 bits of the energy amount of each pixel are rounded off. In FIG. 5, the thin polygonal line is the same as the polygonal line in FIG. 3, that is, a line in which energy amounts that are not approximated are connected. In FIG. 5, the thick broken line is a line connecting the energy amounts obtained by rounding off the lower 5 bits of each pixel in FIG. That is, the energy amount rounded off on the thick broken line shown in FIG. 5 is plotted on a thin straight line on the horizontal axis. When the number of bits to be rounded off is increased, it is preferable to increase the “dent detection range” used for dent determination. That is, it is preferable to make the “dent detection range” shown in FIG. 5 larger than the “dent detection range” shown in FIG. In the example illustrated in FIG. 5, the “pixel range” used for determining the dent is five pixels, and the energy amount of the “dent detection range” is 100_0000.

  As shown in FIG. 5, if the “pixel range” and the “dent detection range” are the same, the evaluation value calculation unit 24 calculates the energy amount obtained by rounding off the lower 5 bits even if it is not rounded. Substantially the same dent can be detected.

  FIG. 6 is a diagram illustrating a dent detection process in which the lower three bits of the energy amount of each pixel are rounded off. In FIG. 6, the thin broken line is the same as the broken line of FIG. 3, that is, a line in which the energy amounts that are not approximated are connected. In FIG. 6, a thick broken line is a line connecting the energy amounts obtained by rounding off the lower 3 bits of each pixel in FIG. That is, the energy amount rounded off on the thick broken line shown in FIG. 6 is plotted on a thin straight line on the horizontal axis or on a thick dotted line. When the number of bits to be rounded off is reduced, it is preferable to reduce the “concavity detection range” used for dent determination. That is, it is preferable to make the “dent detection range” shown in FIG. 6 smaller than the “dent detection range” shown in FIG. In the example illustrated in FIG. 6, the “pixel range” used for determining the dent is five pixels, and the energy amount of the “dent detection range” is 1_0000.

  As shown in FIG. 6, if the “pixel range” and the “dent detection range” are the same, the evaluation value calculation unit 24 calculates the energy amount obtained by rounding off the lower 3 bits and the calculation when the rounding is not performed. Substantially the same dent can be detected.

  Further, as shown in FIGS. 4 and 5, by increasing the number of bits to be rounded off, the number of dents detected by the evaluation value calculation unit 24 decreases. On the other hand, as shown in FIGS. 4 and 6, by reducing the number of bits to be rounded off, the number of dents detected by the evaluation value calculation unit 24 increases. That is, the number of dents detected by the evaluation value calculation unit 24 can be increased or decreased according to the number of bits to be rounded off.

  Therefore, when the change in the energy amount of each pixel is large, the evaluation value calculation unit 24 can detect the dent at high speed by increasing the number of bits to be rounded off. On the other hand, even if the change in the energy amount of each pixel is small, the evaluation value calculation unit 24 can detect the dent with high accuracy by reducing the number of bits to be rounded off. The number of bits to be rounded may be automatically set by the evaluation value calculation unit 24. For example, when the change threshold set as the threshold of the amount of change in the amount of energy is larger than the amount of change in the amount of energy, the evaluation value calculating unit 24 increases the number of bits to be rounded off and sets the change threshold to the amount of change in the amount of energy. If smaller, the number of bits to be rounded can be reduced.

  FIG. 8 is a diagram illustrating a dent detection process in which the number of bits is reduced by truncating the lower 4 bits of the energy amount of each pixel based on FIG. 7. In FIG. 7, the thin polygonal line is the same as the polygonal line in FIG. 3, that is, a line in which energy amounts that are not approximated are connected. In FIG. 7, a thick broken line is a line connecting the energy amounts obtained by truncating the lower 4 bits of each pixel in FIG. 3. That is, the energy amount obtained by cutting off the lower 4 bits on the thick broken line shown in FIG. 7 is plotted on the thick dotted line on the horizontal axis. In the example illustrated in FIG. 7, the “pixel range” used for determining a dent is five pixels, and the energy amount of the “dent detection range” is 10_0000.

  As shown in FIG. 7, if the “pixel range” and the “dent detection range” are the same, the evaluation value calculation unit 24 does not cut off the lower 4 bits even in the energy amount obtained by cutting down the lower 4 bits. Can be detected substantially the same as in the calculation of.

  If the energy amount of the pixel of interest and the energy amount of the other pixels are the same, and the energy amounts of the pixels adjacent thereto are also the same, the evaluation value for the pixel of interest and the evaluation value for the other pixel The value often coincides with or is close to the value. Therefore, the calculation of the evaluation value for the pixel of interest may be omitted, and the calculation may be approximated with the evaluation value for the other pixel. FIG. 8 is a diagram showing a data structure of an evaluation value stored in the storage unit 20 having a cache structure used for such approximation. One example of the storage unit 20 here is a cache memory configured by an SRAM (Static Random Access Memory). FIG. 8 shows the cache per way.

  As shown in FIG. 8, a bit string indicating the numerical value of the energy amount of the pixel whose number of bits has been reduced is used as the address of the cache structure of the storage unit 20. In the Tag area of the storage unit 20, the energy amounts of the pixels before and after the target pixel are stored as a bit string. In step S22 of FIG. 2, the calculated evaluation value is stored in the storage unit 20 as a calculation result in association with the energy amount of the pixel and the energy amounts of the pixels before and after the pixel. Valid Bit is a bit indicating whether or not the calculated evaluation value is stored.

  Thereby, in step S16 of FIG. 2, the evaluation value calculation unit 24 has already calculated the evaluation value from the energy amount of the pixel to be calculated and the bit string indicating the energy amount before and after the pixel, and stored the evaluation value in the storage unit 20. Is determined. Specifically, the numerical value of the energy amount indicated by the non-rounded bit portion in the pixel of interest is specified by the address. Next, when the Valid Bit of the address indicates that there is no evaluation value, the process proceeds to step S20 in FIG. When the Valid Bit indicates that there is an evaluation value, it is determined whether or not the bit string indicating the energy amount stored in the Tag at the address matches the bit string indicating the energy amounts of the pixels before and after the pixel of interest. to decide. If they match, the process proceeds to step S20 in FIG.

  If they match, the evaluation value calculation unit 24 approximates the evaluation value with the evaluation value stored at the address of the calculation target. As a result, an evaluation value with high similarity can be obtained from the storage unit 20 and approximated without calculation. In particular, if the number of bits to be omitted increases, the probability that the same evaluation value is stored in the storage unit 20 corresponding to the bit amount indicating the energy amount of the pixel to be calculated and the energy amount before and after is increased. The time and the power at which the unit 24 specifies the evaluation value are substantially equal to the time and the power at which the storage unit 20 is referred to. Thereby, time and power can be reduced as compared with the case where the evaluation value calculation unit 24 actually calculates in step S20. Further, this configuration is effective for a memory having a cache structure in which the storage unit 20 performs the determination without a circuit load.

  Note that, instead of storing the energy amounts of the pixels before and after the pixel to be calculated in Tag, the difference between the energy amount of the target pixel and the energy amount of the pixels before and after is associated with the “dent detection range”. Is also good. Thereby, the number of bits of Tag can be reduced.

  FIG. 9 is a graph showing the relationship between the amount of energy in a wide area in an image and the position of a pixel. FIG. 10 is a graph showing the relationship between the energy amount and the position of the pixel in which the upper 3 bits of the energy amount in FIG. In FIGS. 9 and 10, dotted broken lines are lines connecting the energy amounts without rounding the lower 4 bits. In FIGS. 9 and 10, a solid broken line is a line obtained by connecting energy amounts obtained by rounding off lower 4 bits. Circles C11 to C14 in FIG. 10 correspond to the energy amounts of the circles C1 to C4 in FIG. With reference to FIGS. 9 and 10, a process of detecting a dent in a wide area in an image will be described.

  Circles C <b> 1 to C <b> 4 shown in FIG. 9 indicate the energy amounts of the positions of the pixels in a wide area separated from each other. As shown in FIG. 9, the energy amount of each pixel in a wide area may vary greatly over several orders of magnitude. In this state, when the evaluation value calculation unit 24 searches for the evaluation values stored in the storage unit 20, there is a high possibility that the corresponding evaluation value cannot be detected. Even if the lower 4 bits are rounded off for speeding up, the evaluation value calculator 24 must calculate the evaluation value for each pixel, so that sufficient speedup cannot be realized.

  On the other hand, as shown in FIG. 10, when the evaluation value calculation unit 24 determines the evaluation value based on the energy amount from which the upper three bits have been deleted, the energy amount in a narrow region surrounded by circles C11 to C14 is determined. The upper and lower widths fall within a certain area. Thereby, when the evaluation value calculation unit 24 searches the storage unit 20 for the energy amount of the pixel to be calculated with the upper 3 bits deleted and the energy values of the pixels before and after the pixel, the corresponding evaluation value is obtained. The probability of a value being searched is increased. As a result, the evaluation value calculation unit 24 can reduce the time required for determining the evaluation value.

  In the above-described embodiment, the example in which the evaluation value calculation unit 24 detects the dent of the energy amount as an edge from the evaluation value, but the evaluation value calculation unit 24 may calculate other information from the evaluation value. . For example, the evaluation value calculation unit 24 may calculate the contrast of the subject from the evaluation value. When calculating the contrast, first, the evaluation value calculation unit 24 calculates the average value of the energy amount of each pixel as the evaluation value. Next, the evaluation value calculation unit 24 calculates the difference between the maximum value and the minimum value of the average value of the energy amounts of the entire region of the image or a part of the image as the contrast.

  The evaluation value analysis unit 26 may obtain the evaluation value or the evaluation value information related to the evaluation value from the evaluation value calculation unit 24 and calculate the focus data. For example, when acquiring the contrast information as the evaluation value information, the evaluation value analyzing unit 26 calculates the focus data by the contrast method. The evaluation value analysis unit 26 controls the driving unit based on the calculated focusing data to drive the optical system.

  The evaluation value analysis unit 26 may acquire the evaluation value or the evaluation value information related to the evaluation value from the evaluation value calculation unit 24, and may calculate the aperture value data for driving the aperture to obtain the proper exposure. For example, the evaluation value analysis unit 26 acquires an evaluation value as the brightness of the subject, calculates an exposure value, and calculates aperture value data from the exposure value. The evaluation value analysis unit 26 controls the imaging unit and the driving unit based on the calculated aperture value data to control the shutter speed and the aperture of the optical system.

  The evaluation value analysis unit 26 may analyze the image by acquiring the evaluation value or the evaluation value information related to the evaluation value from the evaluation value calculation unit 24 and analyzing the image.

  The evaluation value analysis unit 26 may cause the display unit 14 to display an image corresponding to the image data by using a gradation corresponding to a plurality of energy amounts of the image data generated by the image generation unit 22.

  In the above-described embodiment, an example has been described in which the evaluation value calculation unit 24 calculates the evaluation value by omitting some of the bits of the 12-bit energy amount by rounding or truncating the energy value. However, the present invention is not limited to this. For example, the evaluation value calculation unit 24 may calculate the evaluation value by omitting at least one of the upper bit and the lower bit of the pixel value other than 12 bits related to each pixel and reducing the number of bits to a predetermined number of bits. You may. As described above, according to the present embodiment, by calculating the evaluation value by reducing the number of bits of the energy amount of each pixel, it is possible to calculate the evaluation value at high speed even if the number of pixels is large and the pixels are not thinned out. it can. Furthermore, the calculated evaluation value is stored in association with the numerical value of the energy amount represented by the reduced number of bits, and instead of calculating another evaluation value, approximation with the value is performed, whereby the evaluation is performed at higher speed. Value can be obtained.

  As described above, the present invention has been described using the embodiments, but the technical scope of the present invention is not limited to the scope described in the above embodiments. It is apparent to those skilled in the art that various changes or improvements can be made to the above embodiment. It is apparent from the description of the appended claims that embodiments with such changes or improvements can be included in the technical scope of the present invention.

  The execution order of each processing such as operation, procedure, step, and stage in the apparatus, system, program, and method shown in the claims, the description, and the drawings is particularly “before”, “before”. It should be noted that they can be realized in any order as long as the output of the previous process is not used in the subsequent process. Even if the operation flow in the claims, the specification, and the drawings is described using “first,” “second,” or the like for convenience, it means that it is essential to perform the operation in this order. Not something.

Reference Signs List 10 imaging device 12 imaging unit 14 display unit 16 image processing unit 18 control unit 20 storage unit 22 image generation unit 24 evaluation value calculation unit 26 evaluation value analysis unit

Claims (12)

An image generation unit that generates image data including a plurality of pixel values, obtained by digitizing a plurality of pixel signals output from each of the plurality of pixels with a predetermined number of bits,
An evaluation unit that reduces the number of bits of at least one of the pixel values of the plurality of pixel values and performs an evaluation on the image data,
The image processing device , wherein the evaluation unit changes the number of bits to be reduced based on the plurality of pixel values . An image generation unit that generates image data including a plurality of pixel values, obtained by digitizing a plurality of pixel signals output from each of the plurality of pixels with a predetermined number of bits,
An evaluation unit that reduces the number of bits of at least one of the pixel values of the plurality of pixel values and performs an evaluation on the image data,
The image processing device , wherein the evaluation unit reduces the number of bits based on a change in the plurality of pixel values. An image generation unit that generates image data including a plurality of pixel values, obtained by digitizing a plurality of pixel signals output from each of the plurality of pixels with a predetermined number of bits,
An evaluation unit that reduces the number of bits of at least one of the pixel values of the plurality of pixel values and performs an evaluation on the image data,
The evaluation unit can change the number of bits to be reduced,
The evaluation unit stores the evaluation in a storage unit in association with a part of a bit string indicating the at least one pixel value, and a part of a bit string indicating another pixel value of the plurality of pixel values. There if they match to the portion of the bit string stored in the storage unit, instead of performing the evaluation, acquires the evaluation from the storage unit, the image processing apparatus.   4. The image processing device according to claim 1, wherein the evaluation unit omits lower-order bits of the at least one of the pixel values to reduce the number of bits. 5. The evaluation unit is configured to omit the upper bit of at least one of the pixel values, the image processing apparatus according to claims 1 to reduce the number of bits in any one of 4. The evaluation unit, an image processing apparatus according to any one of claims 1 5 for calculating the contrast of the object from the evaluation. The evaluation unit, an image processing apparatus according to any one of claims 1 to 6 for computing the edge of the object from the evaluation. An evaluation analysis unit configured to calculate focusing data for driving a lens to focus on a subject by acquiring and analyzing at least one of the evaluation and evaluation information related to the evaluation from the evaluation unit. 8. The image processing device according to any one of 1 to 7 . An evaluation analysis unit that obtains and analyzes at least one of the evaluation and the evaluation information related to the evaluation from the evaluation unit to calculate aperture value data for driving an aperture and setting an appropriate exposure. 9. The image processing device according to any one of 1 to 8 . The image according to any one of claims 1 to 9 , further comprising an evaluation analysis unit configured to acquire and analyze at least one of the evaluation and the evaluation information related to the evaluation from the evaluation unit to analyze the image. Processing equipment. The display device according to any one of claims 1 to 10 , further comprising a display unit that displays an image corresponding to the image data according to a gradation corresponding to the plurality of pixel values of the image data generated by the image generation unit. Image processing device. Imaging apparatus including an image processing apparatus according to any one of claims 1 to 11.

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